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The Delivery Solutions Architect acts as a post-sale technical lead to drive customer success and platform adoption for Databricks' strategic accounts. This hybrid role combines technical expertise in data and AI systems with commercial account management to ensure complex workloads move successfully into production.
Delivery Manager at 66degrees, an AI/cloud/data consulting firm, who manages full project and program lifecycles for large enterprise clients using agile delivery. Day to day: leading cross-functional cloud, data, and AI engagements, running scrum ceremonies, managing scope, finances, and risks, and acting as the liaison between clients and technical leadership using tools like JIRA, Asana, and Fi
Founding Brand & Product Designer at UniversalAGI (San Francisco, onsite 5 days/week) who owns presentation/deck design, builds the brand and design system, contributes to product design for AI foundation models that learn physics from data, and creates marketing collateral.
Senior System Integration Engineer at Apptronik (Austin, TX) who leads system-level integration, architecture, and validation of soft goods, robotic gloves, grip surfaces, and tactile sensors for the Apollo humanoid robot. Day to day spans electromechanical bring-up, debugging, sensor/wiring integration, V&V testing, and cross-functional work across ME, EE, controls, and manufacturing using tools
Pre-sales Solutions Architect for Databricks' Genie product line covering India, partnering with account executives to drive enterprise adoption of the natural-language analytics product through demos, workshops, and tier-3 technical escalation. Requires SQL, Python, public cloud (AWS/Azure/GCP), and depth in analytics, BI, AI/ML, and governance.
Tenstorrent is hiring a Systems Engineer (hybrid, Toronto) to lead post-silicon debug of its AI accelerator platforms, diagnosing hardware, firmware, and system-level issues spanning power, GDDR, PCIe, Ethernet/SerDes, and NoC. The role builds Python/C diagnostic tools and uses lab equipment like oscilloscopes and logic analyzers on next-gen AI silicon.
Senior platform/DevOps engineer on Cerebras' Core Infrastructure team, building and operating the CI/CD systems, Kubernetes platform, and deployment automation that power engineering workflows. Day-to-day: automate infrastructure, debug failures across pipelines, clusters, and networking, and turn operational issues into durable software using Python, Kubernetes, AWS, and Linux.
Staff engineer on Cerebras' Developer Productivity team who designs and runs CI/CD pipelines, artifact/build systems, and AWS cloud infrastructure so engineers can build, test, and release AI software reliably. Core stack includes CI/CD tooling, AWS, Kubernetes, Linux, and automation in Python/Go/Shell.
Senior engineer advancing CI/CD and developer tooling at scale for an AI compute company in Nova Scotia, Canada. Day to day: designing and optimizing build pipelines, artifact management, and automation; leading infrastructure improvements, mentoring engineers, and joining on-call/incident response.
DevOps-focused software engineer at Cerebras Systems (maker of the world's largest AI chip) who builds and maintains CI/CD pipelines, artifact lifecycle systems, and cloud infrastructure. Day-to-day work spans AWS, Kubernetes, Linux tooling, and automation to improve build reliability and developer productivity.
Lead AI platform development for a space-tech startup, designing full-stack AI tools and integrations to support next-gen space station engineering and operations.
A senior pre-sales Solutions Architect role for Databricks' Customer Lake, its agentic Customer Data Platform built natively into the Databricks Lakehouse. Based in Tokyo, this person advises CMOs, MarTech and data engineering leaders, delivering demos, workshops, and POCs for customer 360, identity resolution, audience activation, and agentic AI marketing solutions.
Software engineer building the systems and infrastructure behind Ricursive Intelligence's end-to-end RTL-to-GDSII chip design flow: running and scaling complex chip designs across EDA tools, improving PPA in production, and deploying AI-driven methods to automate design analysis and optimization. On-site in Palo Alto.
Pre-sales Solutions Architect for Databricks' Customer Lake, an agentic Customer Data Platform built natively into the Lakehouse. Day to day, they guide strategic customers through architecture, demos, workshops, and POCs for customer data and marketing projects, using SQL, Python, cloud platforms, and agentic AI workflows.
Senior enterprise architect on Microsoft's Americas Office of the CTO who partners with strategic customers' executives to shape cloud and AI technical strategy, design cloud-scale Azure solutions (SaaS/PaaS/IaaS, security, data residency), and mentor technical communities. Core focus: enterprise cloud architecture, AI applications, and trusted executive advisory.
Staff-level engineer on Anthropic's Pre-training team building the data infrastructure behind large language model training: high-throughput, reproducible data pipelines that turn web-scale corpora into training-ready datasets, using distributed systems like Apache Spark plus Python and Rust. Based in San Francisco on a hybrid policy.
Lead on-site deployments of sensor-based monitoring and predictive-maintenance technology for heavy mining fleets across Africa and East Asia, managing vendors, integrations, and client stakeholders end to end. Requires 8+ years of technical project management in heavy industry and full fluency in Russian and English, with frequent international travel.
Software engineer on Speechify's AI team in Santiago, Chile, who manages data collection for model training and operates cloud infrastructure on GCP. Requires a CS degree (BS/MS/PhD) and 5+ years of software development experience.
Research scientist/engineer on the UK AI Security Institute's Misuse Red Team: red-teaming frontier LLM safeguards, researching novel attack vectors (jailbreaks, data poisoning, agent misuse), and building automated attack and evaluation tooling. Core work spans LLM research and engineering with frameworks like PyTorch and Inspect, with findings shared with frontier labs and governments.
Research Engineer/Scientist on the UK AI Security Institute's Control Red Team in London, stress-testing frontier labs' AI control monitors. Day to day: designing and running ML/RL experiments, building adversarial attacks, evaluating monitors and sandboxes, and building the tooling and model-serving infrastructure behind it.
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